jackyu66git and Claude
cc95bbb638
v10: Trading OS — 5-subsystem architecture + Signal Intelligence + Dashboard Command Center
...
Architecture:
- Restructure into 5 subsystems: data/, features/, market/, signals/, execution/, apps/
- Unified ts_code conversion in core/codes.py (idempotent, kills 4 duplicate copies)
- analytics_conn() + kline_glob() — zero hardcoded DB/Parquet paths
- Fixed double-suffix bug (.SZ.SZ) in backfill pipeline root cause
Signal Intelligence (the moat):
- 14 signal types: EMA52, Vegas, Chan, ORB, Gap, NR7, Inside Bar
- 640K+ historical signal instances across 8 backfilled types
- Multi-signal Expectancy Engine with breadth-similarity matching
- Signal backfill CLI: ashare-dp backfill signals
Market Intelligence:
- 8 engines: State, Leadership, Opportunity, Flow, Sentiment, Memory, Knowledge Graph, Recommendations
- Real limit-up/down sentiment via akshare (108 ZT, 19 DT, 52 broken board)
- Knowledge Graph: 8 themes × 30+ concepts with keyword matching
- Money-flow stock recommendations with entry/stop/target trade plans
Dashboard Command Center:
- Decision-first layout: COMMAND → WHERE → WHY → RISK → EXPECTANCY
- Multi-signal Expectancy comparison table (8 types ranked by WR)
- Theme Map visualization with rotation detection
- Intraday Replay infrastructure (30min state snapshots)
- RECOMMENDATIONS card with actionable trade plans
Trading Memory:
- trade_log table + POST/GET/PUT API for trade recording
- Performance stats aggregation
Code Quality:
- 0 hardcoded DB paths, 0 REPLACE hacks, 0 dead ts_code copies
- EMA52 screening deduplicated (CLI + scheduler share one function)
- read_parquet_sql() helper for 28 duplicate patterns
- 6 bugs fixed from code review (NR7 window, theme matching, column indices, etc.)
Co-Authored-By: Claude <noreply@anthropic.com >
2026-07-06 12:11:42 +08:00